May 20, 2016 Chapter Meeting - ITT Tech Rancho Cordova - 11am - 1pm

The Enterprise Immune System: Using Machine Learning To Detect 'Unknown Unknown' Threats

Presented by Sadi Steffl of DarkTrace

Abstract: From insider attackers to sophisticated external adversaries, the reality is that the threat is already inside, however good you are at defending your perimeter. A fundamentally new approach to cyber defense is needed to detect and investigate threats that are already inside the network - before they turn into a full-blown crisis.

Based on unsupervised machine learning and probabilistic mathematics developed by scientists from the University of Cambridge, the new immune system technologies are capable of learning ‘a pattern of life’ by modeling the behaviors of each user, device and network. Without relying on rules or signatures, these self-learning technologies represent a fundamental step-change in automated cyber defense.

In this session, learn:

How new machine learning and mathematics are automating advanced threat detection

Why 100% network visibility and intelligence allow you to pre-empt emerging situations, in real time

How smart prioritization and visualization of threats allows for better resource allocation, and lower risk.

About the Presenter: Sadi Steffl joined Darktace in July of 2015, where she was one of the first associates in the San Francisco office and then temporarily relocated to grow out the team in New York. Her client portfolio is diverse ranging in the verticles of education, media, financial, healthcare, software, cities, counties, and states. Darktrace is the fastest growing cyber threat defense company today due to a fundamental new approach helping organizations manage the risk of advanced cyber-attacks, including insider threats.

Friday, May 20, 2016 - 11:00am